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The diploma thesis shows the current state and level of marriage preparation of the engaged couples within the Hradec Kralove diocese border region. The thesis examines and evaluates the status of the preparations in four vicariates in connection with the related church documents. The particular vicariates together with the qualified personnel are introduced and number of marriages for the past ten years is listed for a reference. The thesis characterises four different types of engaged couples and introduces several types of preparations. The current state of the preparations in the region is surveyed and findings are presented in the thesis. Among the preparations guided by a priest the thesis describes additional tools and techniques complementing the preparations. The final part of the thesis is dedicated to these complementary preparation tools and techniques which are presented, compared and evaluated here. The diploma thesis notices preparation of engaged couples with respect to the formation of the future family, which is encouraged by the thesis.

Les modélisations par chaînes de Markov cachées permettent de résoudre un grand nombre de problèmes inverses se posant en traitement d’images ou de signaux. En particulier, le problème de segmentation figure parmi les problèmes où ces modèles ont été le plus sollicités. Selon ces modèles, la donnée observable est considérée comme une version bruitée de la segmentation recherchée qui peut être modélisée à travers une chaîne de Markov à états finis. Des techniques bayésiennes permettent ensuite d’estimer cette segmentation même dans le contexte non-supervisé grâce à des algorithmes qui permettent d’estimer les paramètres du modèle à partir de l’observation seule. Les chaînes de Markov cachées ont été ultérieurement généralisées aux chaînes de Markov couples et triplets, lesquelles offrent plus de possibilités de modélisation tout en présentant des complexités de calcul comparables, permettant ainsi de relever certains défis que les modélisations classiques ne supportent pas. Un lien intéressant a également été établi entre les modèles de Markov triplets et la théorie de l’évidence de Dempster-Shafer, ce qui confère à ces modèles la possibilité de mieux modéliser les données multi-senseurs. Ainsi, dans cette thèse, nous abordons trois difficultés qui posent problèmes aux modèles classiques : la non-stationnarité du processus caché et/ou du bruit, la corrélation du bruit et la multitude de sources de données. Dans ce cadre, nous proposons des modélisations originales fondées sur la très riche théorie des chaînes de Markov triplets. Dans un premier temps, nous introduisons les chaînes de Markov à bruit M-stationnaires qui tiennent compte de l’aspect hétérogène des distributions de bruit s’inspirant des chaînes de Markov cachées M-stationnaires. Les chaînes de Markov cachée ML-stationnaires, quant à elles, considèrent à la fois la loi a priori et les densités de bruit non-stationnaires. Dans un second temps, nous définissons deux types de chaînes de Markov couples non-stationnaires. Dans le cadre bayésien, nous introduisons les chaînes de Markov couples M-stationnaires puis les chaînes de Markov couples MM-stationnaires qui considèrent la donnée stationnaire par morceau. Dans le cadre évidentiel, nous définissons les chaînes de Markov couples évidentielles modélisant l’hétérogénéité du processus caché par une fonction de masse. Enfin, nous présentons les chaînes de Markov multi-senseurs non-stationnaires où la fusion de Dempster-Shafer est employée à la fois pour modéliser la non-stationnarité des données (à l’instar des chaînes de Markov évidentielles cachées) et pour fusionner les informations provenant des différents senseurs (comme dans les champs de Markov multi-senseurs). Pour chacune des modélisations proposées, nous décrivons les techniques de segmentation et d’estimation des paramètres associées. L’intérêt de chacune des modélisations par rapport aux modélisations classiques est ensuite démontré à travers des expériences menées sur des données synthétiques et réelles / Hidden Markov chains (HMCs) based approaches have been shown to be efficient to resolve a wide range of inverse problems occurring in image and signal processing. In particular, unsupervised segmentation of data is one of these problems where HMCs have been extensively applied. According to such models, the observed data are considered as a noised version of the requested segmentation that can be modeled through a finite Markov chain. Then, Bayesian techniques such as MPM can be applied to estimate this segmentation even in unsupervised way thanks to some algorithms that make it possible to estimate the model parameters from the only observed data. HMCs have then been generalized to pairwise Markov chains (PMCs) and triplet Markov chains (TMCs), which offer more modeling possibilities while showing comparable computational complexities, and thus, allow to consider some challenging situations that the conventional HMCs cannot support. An interesting link has also been established between the Dempster-Shafer theory of evidence and TMCs, which give to these latter the ability to handle multisensor data. Hence, in this thesis, we deal with three challenging difficulties that conventional HMCs cannot handle: nonstationarity of the a priori and/or noise distributions, noise correlation, multisensor information fusion. For this purpose, we propose some original models in accordance with the rich theory of TMCs. First, we introduce the M-stationary noise- HMC (also called jumping noise- HMC) that takes into account the nonstationary aspect of the noise distributions in an analogous manner with the switching-HMCs. Afterward, ML-stationary HMC consider nonstationarity of both the a priori and/or noise distributions. Second, we tackle the problem of non-stationary PMCs in two ways. In the Bayesian context, we define the M-stationary PMC and the MM-stationary PMC (also called switching PMCs) that partition the data into M stationary segments. In the evidential context, we propose the evidential PMC in which the realization of the hidden process is modeled through a mass function. Finally, we introduce the multisensor nonstationary HMCs in which the Dempster-Shafer fusion has been used on one hand, to model the data nonstationarity (as done in the hidden evidential Markov chains) and on the other hand, to fuse the information provided by the different sensors (as in the multisensor hidden Markov fields context). For each of the proposed models, we describe the associated segmentation and parameters estimation procedures. The interest of each model is also assessed, with respect to the former ones, through experiments conducted on synthetic and real data

Couples experiencing relationship distress often require professional help, such as counseling and couple and relationship education (CRE). Research recently discovered that among couples in counseling, a circular relationship exists between individual and relationship distress-stress begets stress. Until this study, a similar examination had not been conducted among couples selecting CRE. This study examined the relationship between individual and relationship distress among married couples that had children, were from predominantly low-income and racially and ethnically diverse backgrounds, and selected CRE. A correlational research design was employed and framed in the social interdependence theory. The actor-partner interdependence model was conducted within a three-level hierarchical model. The results confirmed that a circular relationship exists between individual and relationship distress-distress begets distress. Within the circular model of individual and relational functioning, personal individual distress predicted partner individual distress as well as personal and partner relationship distress, and personal relationship distress predicted personal individual distress and partner relationship distress. The extent to which distress begot distress was stronger among women, those with low income, and those who were unemployed. The results also revealed a continuum of individual and relational functioning. Dyad members interact along a continuum from intrapersonal individual functioning to interpersonal relational functioning. The continua meet at the nexus of negotiation or the heart of interpersonal interaction, where dyad members communicate and make decisions, among other actions. Implications related to the findings of this study as well as inspirations for future research are discussed.

Les mariages dits mixtes ont connu et rencontrent encore de nos jours, des points d'achoppement. Même si depuis les années 2000, 88% des Canadiens étaient favorables aux unions entre des Blancs et des Noirs, encore trop souvent c'est un regard méprisant qui est posé sur ces couples mixtes que certains qualifient d'atypiques. Ce mémoire s'intéresse au parcours de gens qui ont choisi de s'unir à une personne dont la peau est d'une autre couleur, plus spécifiquement aux couples qui comptent un homme noir de l'Afrique de l'ouest et une femme blanche du Québec. Les sentiments des personnes, mais aussi les réactions des proches sont pris en compte pour explorer les stratégies qui ont permis que le couple dure dans le temps.

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<p>  </p> <p>The overarching goal of this dissertation was to understand how between-partner feedback loops facilitate adjustment in the year following a military deployment (i.e., reintegration). Reintegration encompasses a period of family transitions and can be a challenging and turbulent time for couples as they attempt to reconnect and reorganize household dynamics. Couples may experience changes in how they interact, and partners may be able to act as a catalyst for promoting positive change in each other. Guided by Family Systems and Interdependence Theories, this study tested a specific feedback loop of a between-partner mechanism across a period of family stress and transitions. Whereas the demand/withdraw dynamic is one example of a feedback loop that is consequential for relationship well-being, the present study examined an alternative feedback loop where partners may respond to individuals’ withdrawal with a type of constructive partner support that encourages discussions and facilitates effective collaboration (i.e., active engagement). Relationship happiness, an indicator for relationship climate, was considered as a moderator in this proposed feedback loop as it intersects with individuals’ tendencies to withdraw, partners’ attempts at support provision, and global relationship functioning during periods of stress and transition. </p> <p>This study utilized longitudinal dyadic data from 124 couples at three time points in the year following service members’ return from deployment to examine the 1) longitudinal interpersonal dynamics of individuals’ tendencies to withdraw, 2) mediating role of partners’ active engagement in the change in individuals’ withdrawal, and 3) moderating role of relationship happiness in the interpersonal dynamics. Study aims were evaluated with a series of actor-partner interdependence models and path models in a structural equation modeling framework. Results suggest three interpretations. First, whereas this study sought to examine change in individuals’ tendencies to withdraw, the data indicate high levels of within-person stability. Second, this study modeled a possible feedback loop where partners’ attempts at active engagement would result in less individual withdrawal. While I did not find evidence of this feedback loop as proposed, it appeared that (female) significant others’ withdrawal was salient for reductions in (male) service members’ active engagement. Finally, I sought to understand how relationship climate (operationalized by a dyad-level indicator of relationship happiness) was associated with the interpersonal dynamics. Couples defined by a happier relationship climate had a stronger negative association between significant others’ withdrawal and service members’ active engagement. This finding may be evidence of happier couples being more apt to shift between levels of independence and interdependence, which may be especially useful for postdeployment transitions. Taken together, findings from this study suggest that individuals’ tendencies to withdraw are relatively robust to the perturbations of deployment and the utility of flexibility and adaptability in couples’ patterns across reintegration. This dissertation concludes with a discussion of the theoretical implications, avenues for future research, and potential applications of these findings.  </p>

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L’objectif de la présente recherche longitudinale est d’explorer la relation entre l’appariement des stratégies d’adaptation et l’ajustement psychosocial (psychologique et rempli individuellement une batterie de questionnaires à trois reprises. Les résultats montrent que les conjoints des couples dont l’appariement est tâche-évitement ont un ajustement psychosocial supérieur à ceux des autres appartements et que les conjoints des couples dont l’appartement est tâche-émotion ont un ajustement psychosocial inférieur à ceux des autres appartements. Les résultats indiquent aussi que les femmes ont un score de détresse psychologique plus élevé que les hommes, que les conjoints des couples dont l’infertilité est de type primaire ont un score de satisfaction conjugale plus élevé que ceux dont l’infertilité est de type secondaire et que les conjoints des couples dont l’infertilité est de source inconnue ont un score de satisfaction conjugale moins élevé que ceux des autres sources d’infertilité.